Chapter: Modeling Complexity: The Case of Climate Science

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Home > Models, Simulations, and the Reduction of Complexity > Modeling Complexity: The Case of Climate Science

Models, Simulations, and the Reduction of Complexity |

Ulrich Gähde; Stephan Hartmann; Jörn Henning Wolf

De Gruyter

Models, Simulations, and the Reduction of Complexity

Modeling Complexity: The Case of Climate Science

Chapter Info

Authors

Valerio Lucarini

ARI Id

1666788560416_7729617

Access

Not Available Free

Pages

229

DOI

10.1515/9783110313680.229

Chapter URL

https://www.degruyter.com/document/doi/10.1515/9783110313680.229/html

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Chapters/Headings	Author(s)	Pages	Info
Frontmatter		i
Preface		v
Contributors		vi
Content		vii
Introduction	Ulrich Gähde; Stephan Hartmann	1
Cosmology – The Largest Possible Model?	Matthias Bartelmann	9
The Standard Model of Cosmology as a Tool for Interpretation and Discovery	Andreas Bartels	23
Patterns in Physical and Biological Systems	Martin Golubitsky	29
Symmetry and the Explanation of Organismal Form	Thomas A. C. Reydon	43
Pluralistic Modeling of Complex Systems	Dirk Helbing	53
The Methodological Challenges of Complex Systems	Stephan Hartmann	81
Contested Modeling: The Case of Economics	Uskali Mäki	87
Models, Representation, and Economic Practice	Julian Reiss	107
A Unifying Approach to High- and Low-Level Cognition	Peter König; Kai-Uwe Kühnberger; Tim C. Kietzmann	117
High- vs Low-Level Cognition and the Neuro- Emulative Theory of Mental Representation	Markus Werning; Michela C. Tacca; Aleksandra Mroczko-Wąsowicz	141
Evaluating a Computational Model of Eye-Movement Control in Reading	Reinhold Kliegl; Ralf Engbert	153
Considering Criteria for Model Modification and Theory Change in Psychology	Martin Hoffmann	179
Identification of Kinetic Models by Incremental Refinement	Wolfgang Marquardt	187
Kinetics, Models, and Mechanism	Robin Findlay Hendry	221
Modeling Complexity: The Case of Climate Science	Valerio Lucarini	229
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